METHODS AND SYSTEMS FOR SELECTING AN OPTIMIZED SCORING FUNCTION FOR USE IN RANKING ITEM LISTINGS PRESENTED IN SEARCH RESULTS
    1.
    发明申请
    METHODS AND SYSTEMS FOR SELECTING AN OPTIMIZED SCORING FUNCTION FOR USE IN RANKING ITEM LISTINGS PRESENTED IN SEARCH RESULTS 审中-公开
    选择优化分级功能的方法和系统用于搜索结果中列出的排序项目列表

    公开(公告)号:US20160171587A1

    公开(公告)日:2016-06-16

    申请号:US15049677

    申请日:2016-02-22

    Applicant: eBay Inc.

    Abstract: Methods and systems for simulating a search, for the purpose of evaluating one or more scoring functions used in ordering item listings for presentation in a search results page are described. Consistent with some embodiments, a simulation platform includes a real-time simulation module that receives search result sets for search queries that result in the conclusion of a transaction. The result set is then processed by the simulation platform with one or more test scoring functions, such that the resulting position of the item listing that has resulted in the transaction can be compared with the actual position at which the item listing was displayed in the actual search results. For each test scoring function, an average rank shift metric is determined, and displayed, thereby providing a metric with which to base decisions about which scoring functions to use in the production system.

    Abstract translation: 描述了用于模拟搜索的方法和系统,用于评估在排序项目列表中用于在搜索结果页面中呈现的一个或多个评分函数。 与一些实施例一致,仿真平台包括实时模拟模块,其接收导致交易结束的搜索查询的搜索结果集。 然后,结果集由仿真平台处理,具有一个或多个测试评分功能,使得导致事务的项目列表的结果位置可以与在实际中显示项目列表的实际位置进行比较 搜索结果。 对于每个测试评分函数,确定并显示平均排位移度量,从而提供用于基于关于在生产系统中使用的评分功能的决定的度量。

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